modeling conservation priorities in veracruz mexico n.
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Modeling Conservation Priorities in Veracruz, Mexico. Jeff Malone. The Problem. Designation of conservation and protection usually based on factors such as: Historical significance Recreational use Scenic beauty Protection of wetlands, forests, watersheds

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Presentation Transcript
the problem
The Problem
  • Designation of conservation and protection usually based on factors such as:
    • Historical significance
    • Recreational use
    • Scenic beauty
    • Protection of wetlands, forests, watersheds
  • Biodiversity is usually NOT taken into account
the solution
The Solution
  • Efforts to ID gaps in biodiversity protection
    • Map predictions of species distribution
    • Compare to protected areas
  • For example…

Long Tailed Sabrewing

northeastern mexico case study
Northeastern Mexico Case Study
  • Species distribution modeling of preservation systems
  • For 19 bird and mammal species
    • Distributions were modeled
    • Gaps in protection identified

Possible solution developed for enhancing protection of species

Red-Crowned Parrot

  • 2 types of data used
    • Species distribution data
    • Environmental attribute data (in raster GIS architecture)
  • Species selected have primary native habitat in Veracruz, Mexico
  • Selection as well as distributional data based on literature and observations

Bearded Wood Partridge

methodology continued
Methodology Continued
  • Thematic geographic layers used to define environmental variables
  • Combined to create single image file
    • Then for each species distribution point, the values for each geographic layer were extracted

Crimson- Collared Grosbeak

methodology continued1
Methodology Continued
  • Those values from the geographic layers were used to create a 6-dimensional box
    • Its limits represent the defining criteria for species distribution
    • Used to select pixels in study area meeting same criteria

Mexican Black Agouti

methodology continued2
Methodology Continued
  • The 6 layers a filtered through a decision rule
    • To produce a predicted distribution map
      • Which was plausibility tested based on field knowledge
  • 6 species were overestimated in the literature
    • Areas of overestimation were set to zero in the GIS distribution maps

Tawny-Collared Nightjar

methodology continued3
Methodology Continued
  • Final Step: optimal reserve system was identified based on predicted distributions
  • Buffer was created around each predicted distributional pixel
  • All buffered species maps were summed to create a map of species richness
    • More species in an area, higher conservation priority
  • Species present were removed, summed remaining species maps to ID next conservation priority

Black dots = known presence

Dark gray = predicted location

Light gray = apparent overestimations

methodology continued4
Methodology Continued
  • For comparison, existing protected areas were evaluated the same way
    • Each protected area evaluated for species richness

Mexican Sheartail

  • Existing preserves buffered to 100,000 ha
  • Raster GIS overlay operation used to compare protected areas to species richness
    • Of 19 species, 12 are found in currently protected areas

Dwarf Jay

results continued
Results Continued
  • Identified reserve system ignoring current one
    • 16 species in 4 reserves, all 19 in 7 reserves
  • But cannot ignore/scrap current preserves
  • Alternative is to complement existing preserves with unprotected species
    • By adding 5 of the potential preserves from optimal model, all 19 native species could be protected
    • More plausible to take a hybrid approach

Altamira Yellowthroat


Black dots = existing preserves

Dark gray = potential new preserves

(1,3,5,6 and 7 combined would protect all 19 species)